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» Human performance measures for video retrieval
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WWW
2010
ACM
14 years 22 days ago
What are the most eye-catching and ear-catching features in the video?: implications for video summarization
Video summarization is a mechanism for generating short summaries of the video to help people quickly make sense of the content of the video before downloading or seeking more det...
Yaxiao Song, Gary Marchionini, Chi Young Oh
CIVR
2010
Springer
160views Image Analysis» more  CIVR 2010»
14 years 7 days ago
Today's and tomorrow's retrieval practice in the audiovisual archive
Content-based video retrieval is maturing to the point where it can be used in real-world retrieval practices. One such practice is the audiovisual archive, whose users increasing...
Bouke Huurnink, Cees G. M. Snoek, Maarten de Rijke...
IMC
2010
ACM
13 years 5 months ago
The impact of YouTube recommendation system on video views
Hosting a collection of millions of videos, YouTube offers several features to help users discover the videos of their interest. For example, YouTube provides video search, relate...
Renjie Zhou, Samamon Khemmarat, Lixin Gao
MIR
2003
ACM
169views Multimedia» more  MIR 2003»
14 years 20 days ago
Design, implementation and testing of an interactive video retrieval system
In this paper we present and discuss the system we developed for the search task of the TRECVID 2002, and its evaluation in an interactive search task. To do this we will look at ...
Georgina Gaughan, Alan F. Smeaton, Cathal Gurrin, ...
SIGIR
2010
ACM
13 years 11 months ago
Human performance and retrieval precision revisited
Several studies have found that the Cranfield approach to evaluation can report significant performance differences between retrieval systems for which little to no performance...
Mark D. Smucker, Chandra Prakash Jethani